Senior Data Scientist, Marketing


Job Overview



The Marketing Analytics team at Peloton is a full-stack team responsible for data, analytics and predictive modeling to accelerate and optimize connected fitness membership growth across all marketing channels. The team consists of 3 functional areas: Analytics Engineering, Marketing Science, and Product Marketing Analytics.

Peloton is looking for a talented individual to join the Channel Optimization team within the broader Marketing Science function. The Senior Marketing Scientist will partner with our Lifecycle Marketing team to engage our leads and members in impactful and meaningful ways, and play a critical part in advancing our capabilities to personalize lifecycle communication and ultimately drive incremental sales across our Connected Fitness portfolio.

The ideal candidate combines world-class analytical/modeling skills and outstanding business acumen to lead application of customer models, experimental design and best-in-class measurement tools across our marketing teams. 


  • Partner with lifecycle marketing on measurement of channel reporting and incremental performance to understand and optimize email campaigns.
  • Perform deep dive analyses and communicate channel learnings and actionable insights across business stakeholders.
  • Build up customer segmentation capabilities in CRM channels to personalize customer communication journeys across lifecycle channels. You’ll get a chance to deploy advanced data models that will enhance our segmentation, personalization, and targeting capabilities to drive incremental performance in our lifecycle channels.
  • Lead experimental design for A/B and multivariate tests in lifecycle channels to optimize engagement and conversion.
  • Design and maintain CRM data infrastructure with the Analytics Engineering team by translating business requirements from stakeholders to data models that will enable reporting, dashboards and segmentation through our CDP to appropriate CRM channels.

  • BA/BS degree, preferably in a technical field.
  • 4-6 years of marketing analytics experience with extensive knowledge in CRM or lifecycle marketing functions with strong analytical grasp of ecommerce and lifecycle channel measurement KPIs. 
  • Expertise in SQL and working with structured and unstructured data-sets, as well as data visualization technologies such as Looker or Tableau. 
  • Working knowledge of a scripting language (e.g. Python, R) and experience operationalizing advanced data models (regression, segmentation, clustering, and other predictive or machine learning models) from exploration, modeling, testing to performance evaluation. 
  • Experience designing and analyzing A/B testing and lifecycle marketing experiments.
  • Comfortable with spreadsheet and presentation tools (Excel, PowerPoint). 
  • Excellent communication skills presenting to and influencing cross-functional leaders, especially through distilling technical matters into clear and concise explanations. 
  • Strong plus: operational experience with CRM tools such as Customer Data Platforms (CDP) and email service providers (ESP). 
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